The HPER measures how the harmonic intensity (energy) varies with respect to the total energy. The harmonic amplitude of speech spectrum has also been used for ...
This paper explores the analysis and classification of speech under stress using a new feature, harmonic peak to energy ratio (HPER). The HPER feature is ...
The phase information is extracted from the discrete Fourier transform (DFT) spectrum and used as a proposed feature for speech emotion classification and ...
This paper explores the analysis and classification of speech under stress using a new feature, harmonic peak to energy ratio (HPER).
Multistyle classification of speech under stress using wavelet packet energy ... Classification of speech under stress using harmonic peak to energy ratio · S ...
Analysis and compensation of speech under stress and noise for environmental robustness in speech recognition
Abstract—Studies have shown that variability introduced by stress or emotion can severely reduce speech recognition accuracy.
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authors also proposed the classification of stressed speech using. Harmonic Peak to Energy Ratio (HPER) in [16]. HPER is a new feature that has the ...
Jan 1, 2021 · A new feature, harmonic peak to energy ratio (HPER), is proposed for analysis and classification of speech under stress. Significance of the ...
We propose five harmonic features which are associated with properties of the speech harmonic structure in order to describe the salience of each pitch ...